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X Demographics
Mendeley readers
Attention Score in Context
Title |
Inferences, questions and possibilities in Toll-like receptor signalling
|
---|---|
Published in |
Nature, July 2004
|
DOI | 10.1038/nature02761 |
Pubmed ID | |
Authors |
Bruce Beutler |
Abstract |
The Toll-like receptors (TLRs) are the key proteins that allow mammals--whether immunologically naive or experienced--to detect microbes. They lie at the core of our inherited resistance to disease, initiating most of the phenomena that occur in the course of infection. Quasi-infectious stimuli that have been used for decades to study inflammatory mechanisms can activate the TLR family of proteins. And it now seems that many inflammatory processes, both sterile and infectious, may depend on TLR signalling. We are in a good position to apply our understanding of TLR signalling to a range of challenges in immunology and medicine. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 580 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 1% |
Brazil | 5 | <1% |
United Kingdom | 5 | <1% |
Germany | 4 | <1% |
Belgium | 3 | <1% |
Netherlands | 2 | <1% |
India | 2 | <1% |
France | 1 | <1% |
Sweden | 1 | <1% |
Other | 12 | 2% |
Unknown | 537 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 118 | 20% |
Researcher | 100 | 17% |
Student > Master | 73 | 13% |
Student > Bachelor | 71 | 12% |
Student > Doctoral Student | 38 | 7% |
Other | 110 | 19% |
Unknown | 70 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 217 | 37% |
Medicine and Dentistry | 95 | 16% |
Biochemistry, Genetics and Molecular Biology | 80 | 14% |
Immunology and Microbiology | 42 | 7% |
Chemistry | 11 | 2% |
Other | 52 | 9% |
Unknown | 83 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2023.
All research outputs
#1,289,275
of 23,189,371 outputs
Outputs from Nature
#34,690
of 91,780 outputs
Outputs of similar age
#1,453
of 54,503 outputs
Outputs of similar age from Nature
#52
of 355 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 91,780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 99.8. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 54,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 355 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.